# Senior Research Engineer

**Company:** [Ai2](https://hotfix.jobs/companies/ai2)
**Location:** Seattle, WA
**Role:** ML Engineering
**Salary:** $174k – $261k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, PyTorch, Training Loops, Task-Specific Heads, Google Earth Engine, Qgis, Arcgis, Remote Sensing, Earth Observation, Environmental Science, Self-Supervised Learning, Vision Transformers
**Posted:** 2026-08-20

> Senior Research Engineer tailoring and deploying machine learning models for partner applications across geospatial and environmental domains. The role requires PyTorch expertise, end-to-end ML deployment experience, geospatial tools knowledge, and strong independent execution.

## Job Description

## Responsibilities
- Collaborate with partners to tailor OlmoEarth models to specific applications across multiple domains.
- Understand business cases and requirements, train machine learning models, and deploy solutions at scale.
- Debug training loops and develop and deploy task-specific heads for encoders.
- Build repeatable processes and operational systems while prioritizing and organizing work effectively.
- Scan technical literature to inform technical discussions.
- Travel domestically and internationally as needed.

## Requirements
- **2+ years** of experience deploying machine learning solutions across the full machine learning lifecycle.
- Fluency in **PyTorch**.
- Experience debugging machine learning training loops.
- Experience developing and deploying task-specific heads for encoders.
- Working experience with geospatial toolsets or platforms such as **Google Earth Engine**, **QGIS**, or **ArcGIS**.
- Familiarity with remote sensing, Earth observation, or environmental science.
- Strong written communication skills across formats and audiences.
- Ability to work independently with limited supervision.
- Strong ownership, prioritization, organization, and self-directed learning skills.
- Ability to use AI tools effectively while critically evaluating their output.

## Nice-to-haves
- Experience in mission-driven, resource-constrained environments, including work with NGOs, government agencies, or research institutions.
- Experience with self-supervised machine learning methods, particularly for **Vision Transformer (ViT)** architectures.
- Comfort scanning technical literature.

## Compensation and Benefits
- Base salary: **$174,240–$261,360**.
- Annual bonuses and participation in a long-term incentive plan.
- Medical, dental, vision, employee assistance, health savings, healthcare reimbursement, and flexible spending account plans.
- 401(k) plan.
- $125 per month toward commuting or internet expenses and $200 per month toward fitness and wellbeing expenses.
- Up to 10 sick days, 7 personal days, 20 vacation days, and 12 paid holidays annually.

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